Senior Data Scientist

Placements24; Roanoke (VA); Hybrid; USD 101,000 - 148,000; Full time

Benefits offered by this job

Hybrid work model

Access to cutting-edge analytics tools

Job summary

Placements24 in London is seeking a Senior Data Scientist to lead complex analytics projects, build predictive models, and mentor junior data scientists. You will translate business challenges into data science solutions and collaborate with stakeholders to drive data-informed strategies across the organization.

The role offers a flexible hybrid work arrangement and opportunities to work with cutting-edge analytics tools and platforms, with a focus on delivering tangible business impact.

Qualifications

• Master's or PhD in Data Science, CS, Statistics, Mathematics, or related field.
• Minimum of 5 years experience as a Data Scientist or similar.
• Proficiency in Python or R with libraries (scikit-learn, TensorFlow, PyTorch).
• Strong SQL and database skills; experience with Spark/Hadoop.

Responsibilities

• Design, develop, and deploy ML models and statistical algorithms for business problems.
• Analyze large datasets to identify trends and compute insights using advanced stats and mining techniques.
• Develop and maintain data pipelines ensuring data quality and accessibility for analysis.
• Translate business needs into data science requirements and collaborate with stakeholders.
• Communicate complex results clearly to technical and non-technical audiences.

Skills

Python

R

scikit-learn

TensorFlow

PyTorch

SQL

Spark

Hadoop

Education

Master's degree in Data Science/CS/Statistics

PhD (preferred)

Tools

Jupyter

Job description

About the Role

Our client is seeking a highly skilled and experienced Senior Data Scientist to join their innovative analytics team in East London. This role is central to leveraging vast datasets to extract actionable insights, build predictive models, and drive data-informed strategies across the business. You will lead complex analytical projects, mentor junior data scientists, and collaborate with stakeholders to translate business challenges into data science solutions. The position involves a hybrid work arrangement, offering flexibility while maintaining essential collaboration within the team and across departments.

Key Responsibilities

• Design, develop, and deploy machine learning models and statistical algorithms to address business problems.
• Analyze large, complex datasets to identify trends, patterns, and insights using advanced statistical and data mining techniques.
• Develop and maintain data pipelines, ensuring data quality and accessibility for analysis.
• Collaborate with business stakeholders to understand their needs and translate them into data science requirements.
• Communicate complex findings and model results effectively to both technical and non-technical audiences through reports and visualizations.
• Mentor and guide junior data scientists, providing technical expertise and fostering best practices.
• Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence.

Requirements

• A Master's or PhD degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
• Minimum of 5 years of professional experience as a Data Scientist or in a similar analytical role.
• Proven expertise in programming languages such as Python or R, and proficiency with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Strong experience with SQL and database technologies, as well as big data technologies (e.g., Spark, Hadoop).
• Solid understanding of machine learning algorithms, statistical modeling, and data mining techniques.
• Excellent problem-solving skills and the ability to work independently and as part of a team.

Benefits

• Highly competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Generous retirement savings plan.
• Opportunities for professional development, attending conferences, and further education.
• Flexible hybrid work model balancing remote and on-site collaboration.
• Access to cutting-edge data analytics tools and platforms.